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| Research article summary (published 27 Feb 2003): |
Diagnosing item score patterns on a test using item response theory-based person-fit statistics.
Full Abstract
Person-fit statistics have been proposed to investigate the fit of an item score pattern to an item response theory (IRT) model. The author investigated how these statistics can be used to detect different types of misfit. Intelligence test data were analyzed using person-fit statistics in the context of the G. Rasch (1960) model and R. J. Mokken's (1971, 1997) IRT models. The effect of the choice of an IRT model to detect misfitting item score patterns and the usefulness of person-fit statisticsfor diagnosis of misfit are discussed. Results showed that different types of person-fit statistics can be used to detect different kinds of person misfit. Parametric person-fit statistics had more power than nonparametric person-fit statistics.
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Author information
Author/s: Meijer, Rob R (RR);
Affiliation: Faculty of Behavioural Sciences, Department of Measurement and Data Analysis, University of Twente, Enschede, the Netherlands. meijer@edte.utwente.nl
Journal and publication information
Publication Type: Journal Article
Journal: Psychological methods (Psychol Methods), published in United States. (Language: eng)
Reference: 2003-Mar; vol 8 (issue 1) : pp 72-87
Dates: Created 2003/05/13; Completed 2003/08/05; Revised 2004/11/17;
PMID: 12741674, status: MEDLINE (last retrieval date: 11/6/2008)
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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